Data Science Freelance Jobs

I am looking for the opportunity to collaborate or to carry on a project on Data Science, Data Engineering, Generative AI or Data Analysis using Python. I am flexible and agile. Ready to discuss

I am looking for an analyst on a part-time or full-time basis who can work many hours a week depending on availability and skillset (any time zone is fine)

You will be required to log on remotely to complete certain tasks. Time is required or we can switch to a per-milestone contract

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer. Microsoft PowerBI installed

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced business analyst
Examples of tasks:
-Create report from SQL DB (MySQL, SQL Server, Oracle, Snowflake)
-Finding insights and drawing conclusions
-Formatting (visually appealing)
-Asking questions, figuring out answers to problems by being proactive



NOT LOOKING FOR A DEVELOPER who JUST FOLLOWS ORDERS looking for someone who can provide solutions and ASK QUESTIONS.


40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods
Innovate new analytic solutions that serve unmet customer needs
communicate analytical results clearly and succinctly-
-Work closely with me to make value-added analytical services available to stakeholders
-Be creative, collaborative in nature, and a self-starter

Must have:
PowerBI
SQL

Preferred
Tableau

I am looking for an analyst on a part-time or full-time basis who can work many hours a week depending on availability and skillset (any time zone is fine)

You will be required to log on remotely to complete certain tasks. Time is required or we can switch to a per-milestone contract

MUST HAVE HIGH-SPEED INTERNET CONNECTION and at least 16GB Of RAM on the computer. Microsoft PowerBI installed

MUST BE WILLING TO VALIDATE WORK, it is not enough to write a formula and hope for the best

Looking for an experienced analyst
Examples of tasks:
-Create a report from SQL DB (MySQL, SQL Server, Oracle, Snowflake)
-Finding insights and drawing conclusions
- Statistical analysis using JMP|SAS|
- Advanced knowledge of Python| R
-Creating reports or dashboards in PowerBI or PowerPoint
-Asking questions, and figuring out answers to problems by being proactive



NOT LOOKING FOR A DEVELOPER who JUST FOLLOWS ORDERS looking for someone who can provide solutions and ASK QUESTIONS.


40% of the time is spent analyzing data. It is not enough to create a measure or show a chart must dig into the data. What is the data telling us? these fields are blank is this ok? so many nulls is this right? etc.

40% asking the right questions in order to comprehend and create the business intelligence report. being innovative and condensing disparate pieces of data into actionable insights or succinct reports for senior executives. Proficient with PowerBI, Mcode, and DAX

20 % documentation to help translate business requirements to technical requirements

-Use current and emerging Statistics, Machine Learning and Data Science methods
Innovate new analytic solutions that serve unmet customer needs
communicate analytical results clearly and succinctly-
-Work closely with me to make value-added analytical services available to stakeholders
-Be creative, collaborative in nature, and a self-starter

Must have:
PowerBI
SQL (CTE's, window functions, etc)
Understanding of statistics using R or Python
Some knowledge of statistical viz packages such as JMP, SAS

## Job Description: Looker Studio Engineer

### **Overview**

We are seeking a skilled and experienced Looker Studio Engineer to join our team. The ideal candidate will have a strong background in data visualization, LookML coding, and an ability to transform complex data into actionable insights. This role involves working closely with various teams to develop and maintain dashboards, reports, and data models that drive business decisions.

### **Responsibilities**

- **Dashboard Development**: Design, develop, and maintain interactive dashboards and reports using Looker Studio.
- **LookML Coding**: Write and optimize LookML code to create robust data models and explore layers.
- **Data Integration**: Integrate various data sources, including Google Analytics, Google Ads, and other third-party APIs, into Looker Studio.
- **Data Analysis**: Perform detailed data analysis to identify trends, patterns, and insights that support business objectives.
- **Collaboration**: Work closely with marketing, engineering, and operations teams to understand their data needs and deliver actionable insights.
- **Performance Optimization**: Ensure optimal performance of Looker dashboards by optimizing SQL queries and LookML code.
- **User Training**: Provide training and support to end-users on how to use Looker Studio dashboards effectively.
- **Documentation**: Maintain comprehensive documentation of data models, LookML code, and dashboard functionalities.
- **Best Practices**: Implement and advocate for best practices in Looker development, including coding standards, version control, and data governance.

### **Requirements**

- **Experience**: Proven experience with Looker Studio or similar data visualization tools.
- **Technical Skills**: Strong proficiency in SQL, LookML, and data modeling. Familiarity with JavaScript, D3.js, and other visualization libraries is a plus.
- **Analytical Skills**: Excellent analytical and problem-solving skills with a keen attention to detail.
- **Communication**: Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- **Education**: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
- **Certifications**: Looker certification is preferred but not required.

### **Preferred Qualifications**

- **Cloud Experience**: Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- **ETL Tools**: Familiarity with ETL tools like Informatica, Alteryx, or DataStage.
- **Project Management**: Experience with Agile methodologies and project management tools.

I'm looking to analyze a corpus of four Word documents (consisting of 39, 40, 30 and 30 pages) for my Masters' dissertation in Library and Information Science. I intend for an expert to apply Latent Dirichlet Allocation (LDA) topic modelling to help reveal the hidden thematic structure within these documents.

The study is as follows: Han, X. "Evolution of research topics in LIS between 1996 and 2019: an analysis based on latent Dirichlet allocation topic model." Scientometrics 125, 2561–2595 (2020). https://doi.org/10.1007/s11192-020-03721-0.

Since that study concludes in 2019, I am extending it from the following year. I need to perform the same analysis for the data I have collected, which is organized into four Word documents, one for each year: 2020, 2021, 2022, and 2023.

I will be responsible for writing and completing the dissertation; I don't have the software or computing know-how to run LDA using Gensim in Python. The freelancer needs to use Gensim.

Key responsibilities:
- Preprocessing the dataset, including text cleaning and formatting
- Applying LDA topic modeling algorithm to the dataset
- Interpreting the results and grouping documents by topics
- Allowing for adjustments based on my input and requirements
- Ensuring procedure is well-documented for reference in my academic work

While my project is scholarly, I want the project's findings to be as clear and approachable as possible. An ideal freelancer would be able to communicate frequently and be open to a collaborative approach.

Credit will be given for the freelancer who works on the project. Need a fast turnaround, must be completed within 3 days.

Skills: Research, Statistics, Statistical Analysis, Data Science, Data Analysis

Description:

Flavour Fields, a company dedicated to growing Microgreens and Edible Flowers, is seeking an experienced Senior Power BI Analyst to take ownership of our reporting project. The ideal candidate will have extensive experience in Power BI and a strong track record of creating cohesive and intuitive reports. This role requires someone who will take the lead on the project and focus on translating collected data into effective visualizations. We are looking for a dynamic relationship; your point of view will not only matter but will be key.

www.flavourfields.com

Responsibilities:

- Take ownership of the development, design, and maintenance of interactive Power BI reports and dashboards.
- Focus on translating the data collected into cohesive and intuitive reports.
- Ensure that reports are clear, engaging, and meet the project requirements.
- Continuously improve and optimize existing Power BI reports and dashboards.
- Propose and implement innovative ideas to enhance data reporting and visualization.
- Collaborate with the onsite full-time analyst to ensure seamless project execution.

Requirements:

- Proven experience as a Senior Power BI Analyst or in a similar senior role.
- Strong proficiency in Power BI and DAX, with a solid understanding of data modeling and visualization best practices.
- Demonstrated ability to take ownership of projects and drive them to successful completion.
- Excellent data analysis and visualization skills.
- Ability to translate collected data into clear and engaging reports.
- Strong attention to detail and commitment to delivering high-quality results.
- Excellent communication skills, both written and verbal.
Ability to work independently and as part of a team.
- Experience in the agricultural or food production industry is a plus.
- Ability to deliver high-quality results quickly and efficiently.

Preferred Qualifications:

- Bachelor's degree in Data Science, Computer Science, --
- Information Systems, or a related field.
- Knowledge of SQL and other data querying languages.
- Experience with data integration and ETL processes.
- Familiarity with other data visualization tools.

About Flavour Fields:

Flavour Fields is a forward-thinking company specializing in the cultivation of Microgreens and Edible Flowers. Our products are known for their quality and unique flavors, and we strive to provide our customers with the best possible experience. We are looking for a talented senior analyst who shares our passion for innovation and excellence and can take ownership of our Power BI reporting project.

About Us
We're an exciting tech startup delivering a Switchless™ eSIM that operates in more than 200 locations, serving users all over the world. We specialise in innovation and cutting-edge technology to make travel connectivity seamless. Recently launched and in hyper-growth mode, our fully remote team is dedicated to driving forward our vision of effortless global connectivity.

Position Overview
As a Conversion Optimisation Lead, you will be responsible for developing and executing comprehensive conversion optimisation strategies to improve user engagement and drive business growth.

This role requires a strategic mindset, strong analytical skills, and expertise in user behaviour analysis and A/B testing. You will collaborate with cross-functional teams to enhance website and campaign elements, ensuring alignment with business goals and key performance indicators (KPIs).

Responsibilities
•Develop and execute a conversion optimisation strategy aligned with business goals and KPIs.
•Conduct user behaviour analysis to identify optimisation opportunities.
•Plan and implement A/B and multivariate tests to improve conversion rates.
•Collaborate with designers and developers to enhance website usability and engagement.
•Optimise website and app layouts, navigation, forms, and CTAs.
•Use analytics tools to monitor site performance and track key metrics.
•Analyse conversion data to uncover actionable insights.
•Work with cross-functional teams to align optimisation efforts with business initiatives.
•Provide guidance on conversion optimisation best practices.

Required Experience
•3+ years in CRO.
•Strong understanding of web analytics tools (e.g., Google Analytics, Adobe Analytics).
•Experience with A/B and multivariate testing (e.g., Optimizely, VWO, Google Optimize).
•Knowledge of UX/UI principles and website optimisation best practices.
•Familiarity with HTML/CSS, JavaScript.
•Excellent analytical and problem-solving skills.
•Strong communication and collaboration abilities.
•Detail-oriented with a passion for continuous learning and measurable results.

Qualification
•Bachelor's degree in Marketing, Business, Psychology, Data Science, or a related field, Advanced degree, or relevant certifications preferred but not required.

What We Offer
•Impactful work: Shape a cutting-edge platform that will revolutionise travel connectivity.
•Career growth: Opportunities for professional development and advancement.
•Remote flexibility: Work from anywhere in a fully remote environment.
•Unlimited holidays: Maintain a healthy work-life balance.
•Innovative culture: Join a team that values creativity, passion, and adventure.
•Team support: Collaborative environment where your ideas are valued and supported.

This position is open to freelancers only. No agencies, please.

I'm in need of a professional AI expert and teacher to assist me in understanding which AI tools and technologies to use for what. Context is that I help several companies to build custom tools that rely on Chat-GPT. However, I realized that I should try out Claude. Then I realized I should try out Poe. The AI landscape is changing so rapidly that it's hard to keep up with. Your key responsibility is ensure that I know everything that's out there such that I'm not passing up a valuable model for my use case.

Key Requirements:
- Deep understanding of Machine learning, Natural language processing
- Ability to provide a general understanding of what models are currently available
- Ability to explain complex ideas in an understandable way
- Experience in one-on-one educational sessions

Key Responsibilities:
- General: Meet with me to help me understand the AI landscape
- Specific: I will provide you with a company use case and you tell me which model (free or paid) to use
- Technical: From time to time, I will ask you how I can use open source models

Skills: Machine Learning (ML), Data Science, Artificial Intelligence, ChatGPT, Natural Language Processing

/please don't email us directly, as that will automatically disqualify you from this process/

We are seeking a skilled recruiter to assist with 1st round screens for data engineers.

You'll conduct up to 10-12 interviews. You'll be paid $25/interview. Each interview will last 30 minutes, and you'll be required to write up interview notes and scores across qualifications, fit, and skills.

Your main responsibility will be to evaluate candidates' qualifications (experience), assess their fit (drive), and assess their soft skills (communication).

This will involve conducting phone/video interviews,

We are looking for someone with excellent communication skills and some understanding of software engineering & data science roles.

The ideal candidate should have experience in conducting initial screening interviews and possess knowledge of data engineering technologies and best practices.

Prior experience in recruiting for data engineering positions is highly preferred.

I seek an experienced machine learning professional to assist with an academic research project. The goal is to apply supervised and unsupervised machine learning algorithms to analyze a large dataset containing medical records. Specific tasks may include data preprocessing, feature engineering, model selection and hyperparameter tuning. proficiency in Python libraries such as Scikit-learn, TensorFlow and Keras is essential. The candidate must have extensive portfolio demonstrating at least 2 years of hands on experience designing, developing and evaluating machine learning models across multiple domains. Academic or professional qualifications in a relevant field like computer science, engineering or data science is preferable. The project will be completed in sprints, with weekly stand-ups to discuss progress, challenges and next steps. While I cannot provide sensitive personal details, upon selection the chosen applicant will be provided full access to the de-identified data and asked to sign a non-disclosure agreement. Please provide your expertise and availability to undertake this intriguing work and help advance medical research through machine intelligence. Compensation will be commensurate with experience.

I seek an experienced machine learning professional to assist with an academic research project. The goal is to apply supervised and unsupervised machine learning algorithms to analyze a large dataset containing medical records. Specific tasks may include data preprocessing, feature engineering, model selection and hyperparameter tuning. proficiency in Python libraries such as Scikit-learn, TensorFlow and Keras is essential. The candidate must have extensive portfolio demonstrating at least 2 years of hands on experience designing, developing and evaluating machine learning models across multiple domains. Academic or professional qualifications in a relevant field like computer science, engineering or data science is preferable. The project will be completed in sprints, with weekly stand-ups to discuss progress, challenges and next steps. While I cannot provide sensitive personal details, upon selection the chosen applicant will be provided full access to the de-identified data and asked to sign a non-disclosure agreement. Please provide your expertise and availability to undertake this intriguing work and help advance medical research through machine intelligence. Compensation will be commensurate with experience.

Position Overview:

The Data Analyst is passionate about data, analytics, and insights. The Data Analyst will turn data into information, information into insight, and insight into business decisions. In addition, the Data Analyst will work closely with the Manager, Data Science & Analytics to analyze and interpret syndicated data sources such as Nielsen, Circana, SPINS, Statista, and more.

Specific Responsibilities:
• Provide support to internal Midan teams and external clients by responding to ad-hoc data requests, seeking answers to business questions and challenges, and providing comprehensive data analysis.
• Extract, clean, and analyze sales and/or marketing datasets from a multitude of data sources and a diversity of formats.
• Analyze sales trends, market behavior, and consumer trends to identify meaningful patterns.
• Develop reports and/or dashboards and communicate findings to both internal and external stakeholders.
• Leverage statistical techniques and quantitative methods to interpret data and mine key insights.
• Work with the Analytics and Insights team to prioritize business and information needs.
• Troubleshoot database reporting issues and develop solutions for the maintenance of data integrity.
• Locate and define new process improvement opportunities.

Qualifications:
• Minimum 2 years of business intelligence and/or data analysis experience
• Experience in Marketing, Market Research or Data Analytics, preferred
• Proficiency with Microsoft Excel and expertise with cleaning/wrangling/handling large datasets.
• Working knowledge of advanced Excel features (i.e., PivotTables, Power Query, VLOOKUP)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Familiarity with CPG and syndicated retail sales (POS) data (Nielsen, Circana, SPINS)
• Knowledge of data visualization tools and software, preferably Tableau or Power BI
• Solid understanding of foundational statistics concepts and working knowledge of statistical methods such as regression, clustering, and time series analysis
• Experience using statistical software packages (SPSS, SAS, Q, etc.) and/or a programming language (R, Python, MATLAB) to analyze large datasets
• High-level knowledge of SQL and/or experience querying large databases
• Ability to synthesize complex information and distill it into intelligible and actionable insights
• Excellent problem-solving skills
• Excellent written and verbal communication skills
• Strong organization skills and ability to juggle multiple projects and priorities

Education and Certifications:
• Bachelor's Degree from an accredited university or college in a quantitative field such as Applied Mathematics, Economics, Finance, or Computer Science

We are interested in consulting an experienced GIS data science, ML engineer.

Our team has been in business for 25 years looking for vehicles. We have built internal software to help our fleet and would like to explore advanced techniques to use our data more effectively.

Our goal is to optimize our License Plate Recognition (LPR) operations by more effectively routing our fleet, implement machine learning and dynamic routing based on advanced data insights from our multiple data sets.

Key points about our project:
1. Goal: Enhance efficiency in locating vehicle assignments using LPR technology, reduce costs and increase successful targets
2. Leverage our datasets of the location of successful vehicle targets and location of all scans, understand our operations and potential for other data integration
3. Areas for optimization: Geographical deployment, timing of operations, dynamic route and area prioritization, and predictive modeling.
4. Seeking: Expert recommendations on analytical approaches, data visualization, and implementation strategies.

We would like to schedule an introductory consultation to discuss our project in more detail

Machine Learning and data science master thesis

Title: Privacy-preserving Traffic Regulation Recognition: Balancing Accuracy and Data Privacy
17,000 words total (65-80 pages)
First stage: (4500 words Proposal).
Second stage: Thesis writing only after acceptance of proposal.
(I will not go for the second stage until acceptance of the Proposal).

All work must be original and never found with plagiarism.
Writer must have a mster or PhD degree in computer science.
Please do not bid if you do not have any dissertation writing experience.
The bidder should send a brief CV and some samples of previous writing for review.

US$ 1000 total Budget= $200 proposal+$800 thesis writing.
Time frame 90 days.
Writer must be available on any of messenger either skype or gmail.
He/She must update me regularly.

Superteams.ai is an invite-only network of top AI researchers and developers designed to help growing companies accelerate product and content development through the power of great talent. We work on problems that require nimbleness, forward-thinking and knowledge of Generative AI technologies like LLMs, AI Agents, Vision Models, Image Synthesis, Audio Synthesis, ASR, Data Science, Predictive Models and other open-source AI tools.


We are looking for a Technical Writer who will be responsible for creating and editing technical documentation and manuals on a regular basis, ensuring accuracy, clarity, and consistency of content. Day-to-day tasks will include researching and gathering information, and producing high-quality documents in a timely manner.


Qualifications:
Strong technical communication and technical writing skills
Experience in creating technical documentation and manuals
Excellent writing, editing, and proofreading skills
Ability to organise and present technical information in a clear and concise manner
Proficiency in Microsoft Office Suite and Google Workspace
A bachelor's degree in B.Tech or a related field is required
Prior experience in B2B technical writing is a plus.

You would need to provide multiple samples of your work that is already published and live. Once you have submitted your application, we will review the content you have written in the past and select the basis of that.

Job Description:
We are seeking a versatile and adaptable Data Scientist with expertise in a range of
technology domains, including Network Operations, Infrastructure Management,
Cloud Computing, MLOps,Deep Learning, NLP, DevOps, LLM infrastructure.
This role encompasses a wide range of responsibilities, including designing and
implementing cloud solutions,
building MLOps pipelines on cloud platforms (AWS, Azure), orchestrating CI/CD
pipelines using tools like GitLab CI and GitHub Actions,
and taking ownership of data pipeline and engineering infrastructure design to
support enterprise machine learning systems at scale.

Responsibilities:
Infra:
Manage cloud-based infrastructure on AWS and Azure, focusing on scalability and
efficiency.
Utilize containerization technologies like Docker and Kubernetes for application
deployment.
NetOps
Monitor and maintain network infrastructure, ensuring optimal performance and
security.
Implement load balancing solutions for efficient traffic distribution.
Infrastructure and Systems Management:
Cloud Computing:
Design and implement cloud solutions, including the development of MLOps
pipelines.
Ensure proper provisioning, resource management, and cost optimization in a cloud
environment.
MLOps and DevOps:
Orchestrate CI/CD pipelines using GitLab CI and GitHub Actions for streamlined
software delivery.
Collaborate with data scientists and engineers to operationalize and optimize data
science models.
Apply software engineering rigor, including CI/CD and automation, to machine
learning projects.

Data Pipelines and Engineering Infrastructure:
Design and develop data pipelines and engineering infrastructure to support
enterprise machine learning systems.
Transform offline models created by data scientists into production-ready systems.
Build scalable tools and services for machine learning training and inference.
Technology Evaluation and Integration:
Identify and evaluate new technologies to enhance the performance,
maintainability, and reliability of machine learning systems.
Develop custom integrations between cloud-based systems using APIs.
Proof-of-Concept Development:
Facilitate the development and deployment of proof-of-concept machine learning
systems.
Emphasize auditability, versioning, and data security during development.

Requirements:
Strong software engineering skills in complex, multi-language systems.
Proficiency in Python and comfort with Linux administration.
Experience working with cloud computing and database systems.
Expertise in building custom integrations between cloud-based systems using APIs.
Experience with containerization (Docker) and Kubernetes in cloud computing
environments.
Familiarity with data-oriented workflow orchestration frameworks (KubeFlow,
Airflow, Argo, etc.).
Ability to translate business needs into technical requirements.
Strong understanding of software testing, benchmarking, and continuous
integration.
Exposure to machine learning methodology and best practices.
Exposure to deep learning approaches and modeling frameworks (PyTorch,
TensorFlow, Keras, etc.).
If you are a dynamic engineer with a diverse skill set, from cloud computing to
MLOps and beyond, and you are eager to contribute to innovative projects in a
collaborative environment, we encourage you to apply for this challenging and
multifaceted role. Join our team and help us drive technological excellence across the board.

We're looking for an experienced bookkeeper/accountant to help annotating transactions categorised by our AI.

You're the perfect candidate if you

- have a lot of experience categorising bank transactions from the UK
- have exceptional attention to detail
- are willing to go the extra mile to achieve accurate results
- are humble enough to ask for help when stuck

You will be reviewing transactions which have been categorised for accounting purposes by our proprietary AI model and identify the accuracy of these categorisations. If the AI got it wrong, you will apply the correct category/ies to the transaction. There will be additional information for you to make a decision such as merchant name, time of transaction, amount, receipt/invoice and some information about the business who made the transaction.

Please note, demonstrable experience with UK bank transactions is a MUST.

You will be working closely with our data science team who built the AI to automatically categorise transactions as well as our in house accountant who will be able to help with questions and will do routine quality control on the annotations.

The project will last for at least 12 months with regular weekly hours (to be completed at any time of day). Exact number of hours will be confirmed.

We are seeking an experienced freelancer to assist in the development of a final year project for a Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE). The project will be focused on one of the following domains: Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), or Data Science.

Key Responsibilities:

1.Project Conceptualization and Planning:
- Collaborate with the student to understand their interests and capabilities.
- Propose a project idea that is innovative, relevant, and achievable within the given time frame.
- Develop a comprehensive project plan with clear milestones and deadlines.

2. Project Development:
- Design and implement the project using appropriate technologies and tools.
- Ensure the project is modular, scalable, and well-documented.
- Provide regular updates and demonstrations of the progress.

3. Educational Support:
- Explain all project concepts and methodologies from the basics to in-depth details.
- Provide detailed explanations and tutorials on the technologies and tools used.
- Assist the student in understanding and implementing complex algorithms and techniques.

4. Documentation and Presentation:
- Prepare detailed documentation of the project, including problem statement, literature review, methodology, implementation, results, and conclusions.
- Ensure all code and documentation are plagiarism-free and original.
- Help prepare the project for submission on GitHub, ensuring it is well-organized and follows best practices.

5. Post-Completion Support:
- Provide support for any questions or clarifications needed by the student.
- Assist in the preparation of a project presentation and any required reports.

Requirements:

- Proven experience in developing projects in AI, ML, IoT, or Data Science.
- Strong programming skills in relevant languages (e.g., Python, Java, C++).
- Familiarity with relevant frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Arduino).
- Excellent communication and teaching skills.
- Ability to deliver high-quality, plagiarism-free work.
- Familiarity with GitHub and best practices for code sharing and documentation.

Deliverables:

1. A fully functional project implemented in the chosen domain.
2. Comprehensive project documentation.
3. Regular progress reports and demonstrations.
4. Detailed explanations and tutorials on project concepts and methodologies.
5. Final project uploaded and organized on GitHub.


Interested freelancers can propose their project idea in the chatbox.

Skills: Machine Learning (ML), Data Science, Artificial Intelligence, Coding, Internet of Things (IoT)

We are seeking an experienced freelancer to assist in the development of a final year project for a Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE). The project will be focused on one of the following domains: Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), or Data Science.

Key Responsibilities:

1.Project Conceptualization and Planning:
- Collaborate with the student to understand their interests and capabilities.
- Propose a project idea that is innovative, relevant, and achievable within the given time frame.
- Develop a comprehensive project plan with clear milestones and deadlines.

2. Project Development:
- Design and implement the project using appropriate technologies and tools.
- Ensure the project is modular, scalable, and well-documented.
- Provide regular updates and demonstrations of the progress.

3. Educational Support:
- Explain all project concepts and methodologies from the basics to in-depth details.
- Provide detailed explanations and tutorials on the technologies and tools used.
- Assist the student in understanding and implementing complex algorithms and techniques.

4. Documentation and Presentation:
- Prepare detailed documentation of the project, including problem statement, literature review, methodology, implementation, results, and conclusions.
- Ensure all code and documentation are plagiarism-free and original.
- Help prepare the project for submission on GitHub, ensuring it is well-organized and follows best practices.

5. Post-Completion Support:
- Provide support for any questions or clarifications needed by the student.
- Assist in the preparation of a project presentation and any required reports.

Requirements:

- Proven experience in developing projects in AI, ML, IoT, or Data Science.
- Strong programming skills in relevant languages (e.g., Python, Java, C++).
- Familiarity with relevant frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Arduino).
- Excellent communication and teaching skills.
- Ability to deliver high-quality, plagiarism-free work.
- Familiarity with GitHub and best practices for code sharing and documentation.

Deliverables:

1. A fully functional project implemented in the chosen domain.
2. Comprehensive project documentation.
3. Regular progress reports and demonstrations.
4. Detailed explanations and tutorials on project concepts and methodologies.
5. Final project uploaded and organized on GitHub.


Interested freelancers can propose their project idea in the chatbox.

Skills: Machine Learning (ML), Data Science, Artificial Intelligence, Coding, Internet of Things (IoT)

I'm seeking a savvy freelancer to create a vision-based analytics system for my office building's CCTV cameras. This system will be the backbone for an interactive dashboard that can drive insights based on the captured footage.

The primary objectives of this project are:
- Develop an analytics solution that can perform customer behavior analysis based on the footage.
- Create a feature that can quantify the number of customers captured.
- Integrate these insights into a user-friendly, visually engaging dashboard.

Ideal Skills & Experience:
- Proficient in computer vision and analytics.
- Prior experience in building similar solutions for office or retail spaces.
- Knowledge of enhancing customer experiences and security through data analysis.
- Ability to design and implement a user-friendly dashboard.

Your work will significantly contribute to enhanced security measures and improved client experiences in our office building. I'm looking forward to reviewing your proposals.

Skills: Python, Machine Learning (ML), Data Science, Internet of Things (IoT), Embedded Systems

Seeking Expert in Risk Management Strategy for Algorithmic Trading

Job Description:

I am currently developing a risk management strategy and require expert assistance to complete the project. The primary goal of this task is to leverage additional market data to make informed trading decisions.

Scope of Work:

You will be provided with the following:

-Trading orders
-Python code to read and process these orders
-Data that includes the traded FX pair
-Market data that includes gold prices, the DXY index, and the VIX
-A detailed description of the task requirements and objectives

Task Objective:

Your main objective will be to analyze the provided gold, DXY, and VIX data to determine optimal trading times and conditions. This involves integrating these datasets with the trading orders to refine our trading strategy based on market conditions.

Project Requirements:

Analyze and integrate additional market data (gold, DXY, VIX) with trading orders
Develop a method to decide when to trade and when not to trade based on this data
Optimize the provided Python code for efficient processing and analysis
Provide a clear, documented methodology for the developed strategy

Requirements:

-Expert-level knowledge in Data Science and Machine Learning
-Proven experience in financial markets, particularly in Forex trading
-Strong background in risk management strategies
-Proficiency in Python and data analysis
-Familiarity with market indicators
-Ability to work independently and meet deadlines

Preferred Qualifications:

-Previous experience with algorithmic trading strategies
-Advanced knowledge of financial instruments and market behavior
-Excellent problem-solving skills and attention to detail
-Additional Information:

This is the first task of many. It is expected to be completed in less than 10 hours. Successful completion of this first task will potentially result in ongoing work to analyze more risk and trade-related research questions.

If you are passionate about financial markets and have the expertise to enhance our trading strategy, we would love to hear from you. Please include your relevant experience and any previous work samples in your application.

We are seeking a skilled Python Developer to join our team and contribute to the development of our cutting-edge energy management system. The developer will design and implement Python code to extract data from databases, perform business intelligence (BI) analysis, and deliver results to the front end. This role demands a strong understanding of data processing, analytical skills, and proficiency in Python.

Key Responsibilities:
- Develop and maintain Python code for data extraction, transformation, and loading (ETL) processes from various databases.
- Implement BI functionalities to analyze energy consumption and generation data.
- Collaborate with the data science team to integrate advanced analytics and machine learning models.
- Design and optimize SQL queries for efficient data retrieval and manipulation.
- Work closely with front-end developers to ensure seamless data integration and visualization.
- Troubleshoot and debug issues related to data processing and ensure data accuracy.


- Proven experience as a Python Developer
- Proficiency in SQL and experience with relational databases.
- Strong knowledge of BI tools and libraries such as Pandas, NumPy, and Matplotlib.
- Familiarity with web frameworks (e.g., Flask, Django) and RESTful APIs.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.

12 weeks minimum full-time commitment

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Pls provide samples of ur work related to similar projects
I am looking for an expert in data science and AI to assist with a 1-2 month project. I am designing a lightweight multimodal authentication system using EEG signals and iris. The datasets are decided on and available.

I am looking for someone with experience on:
1) Signal Processing (Since we are using EEG)
2) Basics in Computer Vision (For iris recognition)
3) AI using Python.

I am planning to test several fusion techniques (feature-level, score-level, etc.), and use GAN to increase dataset size.

Skills: Python, Machine Learning (ML), Data Science, Biometrics, Deep Learning

Join Us as an Upwork Lead Generator!

Company: KJXSOFTTECH PVT LTD
Location: Remote
Job Type: Freelance/Contract

Why KJXSOFTTECH?

Do you have a knack for sales and lead generation? At KJXSOFTTECH, we specialize in AI/ML, Data Science, Web & App Development, and more. We need someone who can find potential clients and generate leads on Upwork. If this sounds like you, let’s talk!

What You'll Do:

Find and attract potential clients on Upwork.
Write compelling, personalized proposals.
Communicate with leads and ensure follow-ups.
Conduct market research.
Keep track of leads and proposals in our CRM.
Meet or exceed lead generation targets.
Report on your activities and results.
What We're Looking For:

Experience in lead generation on Upwork.
Strong communication and proposal writing skills.
A history of meeting targets.
Comfortable with CRM systems.
Ability to analyze market data.
Self-motivated and independent.
Nice to Have:

Degree in Marketing, Business, or similar.
Experience in freelance or remote roles.
Familiarity with Upwork’s platform.
Ready to Join?

If this sounds like a fit, send us your resume ASAP.

Thanks and have a great day! 😊

#KJXSOFTTECH #remotejobs #techremotejob

Join KJXSOFTTECH and boost your career by generating leads in a thriving tech environment!

ABOUT US
Flowlane is a pioneering digital marketing agency dedicated to pushing the boundaries of marketing innovation. We blend cutting-edge analytics with creative genius to deliver exceptional marketing solutions.

With a reputation for working with some of Australia’s leading brands, our mission is to empower clients with strategic insights and transformative campaigns that drive growth and elevate their market presence. At Flowlane, we stand at the forefront of redefining industry standards, ensuring every client achieves unparalleled success in their marketing endeavours.

JOB DESCRIPTION
We are seeking a talented and analytical Social Ads Specialist to join our team. As a member of Flowlane, you will work with leading brands and franchises across Australia, utilising your expertise in data analysis and strategic thinking to create impactful advertising campaigns on Meta platforms.

RESPONSIBILITIES
Develop, implement, and manage paid ad campaigns on Meta platforms.
Analyse campaign performance and provide data-driven insights to optimise strategies.
Collaborate with our creative team to develop compelling ad copy and visuals.
Monitor and report on key performance metrics to stakeholders.
Stay updated with the latest industry trends and best practices.

REQUIREMENTS
In-depth knowledge of Meta Ads platforms, including campaign management and optimisation.
Proven experience in managing paid advertising campaigns on Meta platforms.
Strong understanding of digital marketing trends and best practices.
Exceptional problem-solving skills and attention to detail.
Strong proficiency in data analysis and strategic thinking.
A strong ability to read and interpret data and give educated recommendations to creative departments and account managers
Background in data science/analysis and direct response marketing is highly desirable.

ABOUT YOU
We are not looking for a 'generalist' digital specialist.
We are seeking elite media buyers specialising exclusively in Meta Ads, known for their unwavering commitment to their craft. They must be deeply immersed in media buying, and continuously updated on the latest trends and algorithm shifts.
Our ideal candidate is someone we can trust to propel our clients' campaigns to exceptional success.

WHY JOIN US
Flowlane offers a dynamic work culture, opportunities for growth, and the chance to work with a team passionate about driving impactful marketing solutions. Join us in shaping the future and pushing the boundaries of digital marketing globally!

ABOUT THE POSITION
This is a full-time role.
Competitive compensation based on experience
100% remote work environment.
Must be available to work within Australian timezone (Melbourne/Sydney AEST/GMT/UTC+10)

APPLY NOW
If you are a proactive Social Ads Specialist with a passion for sourcing top digital marketing talent, we want to hear from you. Apply today with your updated resume and a cover letter highlighting your relevant experience.


Flowlane is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

ABOUT US
Flowlane is a pioneering digital marketing agency dedicated to pushing the boundaries of marketing innovation. We blend cutting-edge analytics with creative genius to deliver exceptional marketing solutions.

With a reputation for working with some of Australia’s leading brands, our mission is to empower clients with strategic insights and transformative campaigns that drive growth and elevate their market presence. At Flowlane, we stand at the forefront of redefining industry standards, ensuring every client achieves unparalleled success in their marketing endeavours.

JOB DESCRIPTION
We are seeking a talented and analytical Search Ads Specialist to join our team. As a member of Flowlane, you will work with leading brands and franchises across Australia, utilising your expertise in data analysis and strategic thinking to create impactful advertising campaigns on Google Ads.

RESPONSIBILITIES
Develop, implement, and manage paid ad campaigns on Google Ads.
Analyse campaign performance and provide data-driven insights to optimise strategies.
Collaborate with our creative team to develop compelling ad copy and visuals.
Monitor and report on key performance metrics to stakeholders.
Stay updated with the latest industry trends and best practices.

REQUIREMENTS
Proven experience in managing paid advertising campaigns on Google Ads.
Strong proficiency in data analysis and strategic thinking.
Exceptional problem-solving skills and attention to detail.
Ability to work independently and as part of a team in a remote setting.
Background in data science/analysis and direct response marketing is highly desirable.

ABOUT YOU
We are not looking for a 'generalist' digital specialist.
We are seeking elite media buyers specialising exclusively in Google Ads, known for their unwavering commitment to their craft. They must be deeply immersed in media buying, and continuously updated on the latest trends and algorithm shifts.
Our ideal candidate is someone we can trust to propel our clients' campaigns to exceptional success.

WHY JOIN US
Flowlane offers a dynamic work culture, opportunities for growth, and the chance to work with a team passionate about driving impactful marketing solutions. Join us in shaping the future and pushing the boundaries of digital marketing globally!

ABOUT THE POSITION
This is a full-time role.
Competitive compensation based on experience
100% remote work environment.
Must be available to work within Australian timezone (Melbourne/Sydney AEST/GMT/UTC+10)

APPLY NOW
If you are a proactive Search Ads Specialist with a passion for sourcing top digital marketing talent, we want to hear from you. Apply today with your updated resume and a cover letter highlighting your relevant experience.


Flowlane is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Position: Senior AI/LLM Engineer
Location: Remote | India
Department: Data Science

About Us: Sahyog provides a nationwide open parcel network by integrating small and large parcel carriers to create a seamless, cost-effective, and reliable delivery system. Our mission is to revolutionize logistics through innovative solutions that make shipping easier and more accessible for businesses of all sizes.

Position Overview: We are seeking a highly skilled and experienced Senior Large Language Model (LLM) Engineer to join our dynamic engineering team. The ideal candidate will have a deep understanding of natural language processing, machine learning, and large-scale model training. This role involves designing, implementing, and optimizing large language models to solve complex problems and enhance our product offerings.

Key Responsibilities:
• Design and develop state-of-the-art large language models and related NLP solutions.
• Collaborate with cross-functional teams to integrate LLMs into various applications and platforms.
• Optimize model performance, including fine-tuning, pruning, and other techniques.
• Implement prompt engineering, autonomous agents, function calls, Retrieval-Augmented Generation (RAG) models, and hybrid LLM models.
• Evaluate the performance of various models and conduct fine-tuning for optimal results.
• Conduct research and experiments to push the boundaries of what LLMs can achieve.
• Communicate complex technical concepts and results to both technical and non-technical stakeholders.

Qualifications:
• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of NLP concepts and proven experience with OpenAI and LLaMA models.
• Proficiency in Python, SQL, Vector Database, and Graph Database with experience in machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Excellent problem-solving skills and the ability to think algorithmically.
• Strong experience in prompt engineering, autonomous agents, function calls, RAG models, hybrid LLM models, fine-tuning, and performance evaluation of various models.
• Strong communication skills and the ability to work collaboratively in a fast-paced environment.

Why Join Us:
• Work with a talented and passionate team at the cutting edge of AI technology.
• Opportunity to make a significant impact on the development of innovative products.
• Continuous learning and professional development opportunities.
• Collaborative and inclusive work environment.

We are seeking a skilled and experienced Algorithm Developer to join our team on a freelance basis to optimize our Gorse recommendation system. The ideal candidate will have a strong background in machine learning, data science, and algorithm development, with specific experience in recommendation systems.

Responsibilities:

Design, develop, and optimize recommendation algorithms using Gorse.

Analyze user data and behavior to improve recommendation accuracy.

Implement collaborative filtering techniques, matrix factorization, and other machine learning models.

Test and evaluate algorithm performance, making necessary adjustments for improvement.

Collaborate with our development team to integrate algorithms into our existing systems.

Document the development process, including design decisions and code.

Requirements:

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.

Proven experience in developing recommendation systems and algorithms.

Proficiency in programming languages such as Python or Java.
Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).

Experience with collaborative filtering and matrix factorization.

Excellent problem-solving and analytical skills.

Strong communication skills and the ability to work independently and in a team environment.

Preferred Qualifications:

Experience working with Gorse or similar recommendation systems.

Previous experience as a Data Scientist or Machine Learning Engineer.

Familiarity with data preprocessing and feature engineering.
Knowledge of data structures and advanced algorithms.

How to Apply:

Please submit your proposal, including your resume, portfolio of previous work related to recommendation systems, and a brief description of your approach to optimizing Gorse algorithms.

We look forward to working with a talented individual who can help us enhance our recommendation capabilities and deliver personalized user experiences.

We are seeking a highly skilled and experienced Machine Learning and Data Science Expert to join our team. As an expert in this field, you will be responsible for developing and implementing machine learning algorithms and models to extract insights from large datasets. You will work closely with our data scientists and engineers to design and optimize machine learning solutions that address complex business problems. The ideal candidate must have a strong background in machine learning, statistics, and data analysis, with proficiency in programming languages such as Python or R. Experience with advanced machine learning techniques and frameworks is a plus. Strong problem-solving skills and the ability to communicate complex concepts to non-technical stakeholders are essential for success in this role.

Skills required:
- Machine learning
- Data science
- Statistics
- Data analysis
- Python
- R
- Problem-solving
- Communication